基于GPU与CPU协作的实时波束形成实现方法

Real-time beamforming based on GPU cooperating with CPU

采用基于CUDA(compute unified device architecture,统一计算设备架构)的GPU(graphic processing unit,图形处理器)与CPU协作处理方法,实现了宽带波束形成的实时处理。本方法的处理速度相较于MATLAB和CPU平台可以提高一至两个数量级,相较于同等处理速度的多DSP平台则体现了开发周期短、费用低、工作量小和可靠性高等众多优势。

This paper proposed a new method to implement the real-time broadband beamforming with CPU and GPU based on CUDA.Its processing speed can improve one or two magnitude compared with MATLAB and CPU.And it has many advantages compared with multi-DSP platform having the same processing speed,such as shorter development period,lower cost,higher reliability,smaller amount of work and so on.